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Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Timescale using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

<100ms to batch
200+ connectors
Managed data pipelines

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01. Select a source02. Transform in-flight03. Deliver to Timescale

Timescale connector details

The TimescaleDB materialization connector writes data from Estuary collections into TimescaleDB tables, making it easy to manage and query real-time, time-series workloads. Built on the PostgreSQL connector, it provides the same configuration experience with added support for Hypertables—TimescaleDB’s time-series optimized storage.

PostgreSQL-compatible: Fully supports PostgreSQL features and syntax while extending for time-series optimization
Hypertable support: Easily create Hypertables using custom SQL statements in the binding configuration
Automatic table creation: Estuary creates and manages tables within your TimescaleDB database automatically
Flexible configuration: Supports both standard and delta updates for efficient data synchronization
Ideal for time-series data: Perfect for IoT telemetry, metrics, financial data, and operational analytics

💡 Tip: Enable Hypertables by adding SELECT create_hypertable(‘table’, ‘timestamp_column’); in your binding configuration to unlock TimescaleDB’s performance benefits for time-series queries.

For more details about the Timescale connector, check out the documentation page.

How to connect your data source to Timescale in 3 easy steps

1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
3
Sync to Timescale
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Timescale, with capture and delivery cadence based on connector capabilities and pipeline configuration.

Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Timescale through Estuary.
Transform and route data through Estuary collections before delivering it to Timescale.

See what you can connect to Timescale:

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

	Estuary	Batch ELT/ETL	DIY Python	Kafka
Price	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High